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Greater London, England, United Kingdom
Hybrid
We're looking for an exceptional software engineer to help build the platform that powers Lovable Enterprise.
Enterprise adoption is growing rapidly, and we're building the infrastructure that allows customers to deploy Lovable securely across AWS, Azure, and Google Cloud.
From sandboxing and networking to cloud architecture and identity, you'll build the systems that make enterprise deployments possible.
Lovable is the software creation platform that gives people the power to act on the problems closest to them. For decades, turning an idea into software required so much capital, technical fluency, and time that many ideas never came to life. Lovable is the counterargument: a platform for all people with ideas, ambition, and problems worth solving. From solopreneurs to small business owners to teams at companies like Adidas and Zendesk, people have built over 60 million projects on Lovable since its launch in November 2024. And we’re just getting started.
We’re building a generational company from Stockholm, with growing teams in London, Boston, New York, and San Francisco. Our team is small, talent-dense, and moving quickly, with a culture rooted in extreme ownership, high velocity, and low-ego collaboration. We look for people who care deeply, ship fast, and are eager to make a dent in the world.
Lovable is one of TIME’s 100 Most Influential Companies and has been recognized on the Forbes AI 50 and CNBC Disruptor 50, reflecting our momentum as one of Europe’s fastest-growing AI companies and one of the most ambitious places to build in this next era of software.
We're looking for a software engineer with strong infrastructure and platform engineering experience.
You'll likely have:
+5 years of experience building backend infrastructure or platform systems.
Experience building enterprise software products or working in regulated environments. Experience with Bring Your Own Cloud (BYOC) deployments is especially valuable.
Strong understanding of cloud infrastructure across at least one of AWS, Azure, or Google Cloud and how to configure them securely
Strong programming skills in Go, Rust, Java, C++, or similar.
Experience working with infrastructure as code and Kubernetes
Broad knowledge across networking, databases, distributed systems, security
Experience building secure, reliable systems that operate under demanding production workloads.
A product mindset—you care about the people using the systems you build.
We're less interested in traditional DevOps experience and more interested in engineers who enjoy building software that powers infrastructure.
In one sentence:
Build the enterprise platform that enables customers to run Lovable securely and at scale.
Examples include:
Build the infrastructure powering enterprise deployments across AWS, Azure, and Google Cloud.
Work closely with enterprise customers and cloud providers to solve complex infrastructure challenges.
Design cloud-agnostic systems that allow customers to deploy Lovable in the environment that best fits their needs.
Build secure sandboxing and runtime environments.
Design and improve networking, encryption, identity, and enterprise infrastructure capabilities.
Build the internal platform that enables engineering teams to ship enterprise features faster.
Help define the long-term architecture of Lovable Enterprise.
Enterprise is one of the fastest-growing parts of Lovable.
You'll have unusually high ownership over a critical area of the product, working across engineering, enterprise customers, and major cloud providers to build infrastructure that very few companies get the opportunity to design from scratch.
If you're excited about building software that enables the next generation of enterprise AI products—and doing it across every major cloud platform—we'd love to hear from you.
We're building with tools that both humans and AI love. Lovable engineers work across the stack, and examples of our technology include:
Languages: Go, Rust, TypeScript
Cloud: AWS, Azure, Google Cloud, Cloudflare
Infrastructure: Kubernetes, Terraform, Temporal, OTEL, CI/CD
Data: Postgres, ClickHouse, Firestore, Spanner, BigQuery
We're always looking for better tools and better ways of building software.
Please submit your application in English—it's our company language.
We review every application carefully and encourage anyone excited by the role to apply.